This repository contains source code accompaying the blog post Deep Reinforcement Learning with TensorFlow 2.0.
In the blog post I showcase the upcoming TensorFlow 2.0 features through the lense of deep reinforcement learning by implementing an advantage actor-critic agent, solving classic CartPole-v0 environment. While the goal is to showcase TensorFlow 2.0, I also provide a brief overview of the DRL methods.
You can view the code either as a notebook, a self-contained script, or execute it online on Google Colab.